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3D Shape Reconstruction from Feature Point Tracking Using High-speed Vision


We developed a method for 3D shape reconstruction. The strategy is composed of extraction and tracking of feature points using the Gaussian filter and sum of absolute difference based on the characteristics attributable to high-speed vision. Experimental result is shown where 100 feature points can be tracked for fast moving target.

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Fig. 1 Reconstruction object and feature point tracking


Ishikawa Group Laboratory, Data Science Research Division, Information Technology Center, University of Tokyo / Tokyo University of Science
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